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Job Description

The Data Engineer II role sits within Amazon’s North America Sort Centers (NASC) NASC SPEeD team. The position focuses on building scalable data services and science-based planning tools that support sortation products engineering and data, with work spanning big data, machine learning, and optimization for high volume, low latency, high availability systems.

Role Overview

North America Sort Centers are expanding rapidly, and the NASC SPEeD (Sortation Products Engineering and Data) team is seeking a skilled, highly motivated engineer. The Sort Center network functions as the critical Middle-Mile solution within Amazon Transportation Services (ATS), connecting Fulfillment Centers to the Last Mile.

The SPEeD team is expected to deliver scalable solutions to manage increasing operational complexity driven by new and evolving processes, including containerization, heavy-bulky freight, international shipping, customer returns, and Amazon Robotics solutions.

In this role, you will develop new services and experiences that improve usability while increasing performance and scalability. The initiative is new, providing an opportunity to contribute to how the team shapes future capabilities.

Responsibilities

  • Create scalable data solutions and science-based planning tools for sortation products engineering and data.
  • Build new services and experiences using big data, machine learning, and optimization techniques.
  • Develop systems designed to run as high volume, low latency, and high availability services.
  • Work across a range of teams and services within Amazon.
  • Apply guidance from principal product managers and senior engineers to support professional growth and development.

Required Qualifications

  • Experience with data modeling, warehousing, and building ETL pipelines.
  • 3+ years of data engineering experience.
  • Bachelor’s degree.

Technologies

  • Amazon Redshift
  • Amazon S3
  • AWS Glue
  • Amazon EMR
  • Amazon Kinesis
  • FireHose
  • AWS Lambda
  • IAM roles and permissions
  • Object storage
  • Document stores
  • Key-value stores
  • Graph databases
  • Column-family databases

Preferred Qualifications

  • Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
  • Experience with non-relational databases or data stores, including object storage, document or key-value stores, graph databases, and column-family databases.

Location and Compensation

Bellevue, WA (Onsite)

Salary: USD 132,100 - 178,800 per year

Benefits

  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan
  • 401(k) matching
  • Health insurance (medical, dental, vision, prescription)
  • Basic Life & AD&D insurance
  • Option for Supplemental life plans
  • EAP
  • Mental Health Support
  • Medical Advice Line
  • Flexible Spending Accounts
  • Adoption and Surrogacy Reimbursement coverage
  • Paid time off
  • Parental leave

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